/CryoEnv

Reinforcement Learning Environment for Detector Optimization.

Primary LanguageJupyter Notebook


CryoEnv


A reinforcement learning environment for detector optimization. Simulation of cryogenic detectors from first principles.

Correspondence to: felix.wagner@oeaw.ac.at

Usage:

Try the scripts ...

tests/test_cryosig.py

tests/test_cryosweep.py

.. and for training a SBL3 SAC agent ...

tests/train_wrapper.py

tests/run_wrapper.py

... most of them have a helper in the command line argument handler.

Test our own implementation of a SAC agent with:

tests/cryoenv_continuous_v0_sac.py